Your ad accounts, your analytics and your CRM are connected once in the gateway. After that the marketing team asks in its own words, in Claude, GPT or Gemini, and IT has already approved the route.
One account is fine for one person. The difference shows up when a whole team uses AI, and when somebody asks what it cost or where the data went.
Everyone signs up separately. Nobody knows what it costs, who has access, or what has been shared.
One way in to every model. One login, one invoice, and you can see what is actually happening.
Claude today, something else next year. With Walma you use all of them and switch when it suits you, without redoing the work.
We have done the groundwork: ready-made connections to the tools you already use, with proven skills and instructions, so the team actually gets going instead of just trying it out.
If you want visibility, you get it: everything the agent does is visible, you get feedback on how the work could be better, and you can put a stop to things it should not do.
Walma AI Hub is a layer between your tools and the models. Here is what that means in practice.
IT approves an MCP server once. After that the tool appears for the people who should have it, with the right permissions. Nobody on the team touches an API key.
Claude, GPT, Gemini and the open models all reach the same connections. You pick the model per task instead of locking yourself in, and if you switch next year the tools come along.
When the off-the-shelf tools run out, we build. RAG over your own material, bespoke agent flows, and narrow MCP servers for systems the vendor has not covered, all running inside the same gateway and the same log.
The list shows where the MCP landscape stands in September 2026. What is official is official, and the rest we build.
The vendor's own server. Switched on and running the same day.
Klaviyoofficial
AhrefsofficialCommunity-built. We review the tool descriptions and pin the version before approving.
Included in every rollout.
No prompting course required. These are questions you already ask, minus the four CSV exports first.
The gateway runs in your own Azure tenant in an EU region. Every call is logged with user, tool and arguments. That is the answer when your data protection officer asks where the data goes.
Built for European requirements from day one. Details, subprocessors and policies live in our Trust Center.
Open the Trust CenterYou decide that per connection. Google's official server is read-only: the agent can analyse and report but cannot touch a budget. Meta's server both reads and writes, and there we normally require human approval per change. The rules live in the gateway, not in the client, so nobody can switch them off locally.
No. A connection is approved once, centrally, and then the tools appear for the people who should have them. Nobody handles API keys, OAuth flows or config files. That is the whole point of putting the connections in the gateway rather than on every laptop.
The gateway runs in your own Azure tenant in an EU region. Prompts, tool arguments and logs are processed there. For connections whose vendor server sits outside the EU we tell you before you approve it, so the decision is yours rather than a surprise in an audit.
LinkedIn Ads and TikTok Ads we reach through an aggregator today, and we build a narrow connection against their APIs when you need more. It is the same work behind the internal servers we already run for customers.
Yes. The connections sit in the gateway, not in the model, so the same tools work against Claude, GPT and Gemini. Change model next year and the connections come with you, without redoing the integration work.
Twenty minutes with an engineer. We connect one of your real ad accounts and show what the marketing team can ask the next day.